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Record W2900126405 · doi:10.1177/0020715218810331

Political rhetoric and attitudes toward nationhood: A time-comparative and cross-national analysis of 39 countries

2018· article· en· W2900126405 on OpenAlexvenueno aff
Markus Hadler, Anaїd Flesken

Bibliographic record

VenueInternational Journal of Comparative Sociology · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicElectoral Systems and Political Participation
Canadian institutionsnot available
FundersEconomic and Social Research Council
KeywordsRhetoricPoliticsEthnocentrismIdeologySociologyPublic opinionEthnic groupPolitical scienceEuropean Social SurveyIdentity (music)Survey data collectionSocial psychologyGender studiesLawPsychologyAestheticsLinguistics

Abstract

fetched live from OpenAlex

Research on the relationship between nationhood and individual attitudes prominently focuses on whether – and how – the distinction between ethnic and civic conceptions may be drawn in mass public opinion. We depart from this literature to explain the effects of party rhetoric on shaping more restrictive conceptions of nationhood, which previous research refers to as “ethnic,” “objective,” or “ascriptive” views on nationhood. We do so in three parts: we examine whether political rhetoric, in terms of party manifestos, and individual-level conceptions of nationhood are linked; whether the relationship depends on the ideological alignment between political parties and respondents; and whether political rhetoric and individual predisposition act in combination. We analyze three waves of survey data from the International Social Survey Program’s National Identity module from 1995, 2003 and 2013, covering 58,498 respondents from 39 countries. We find that political rhetoric influences respondents’ conceptions of nationhood. This effect, however, is not as straightforward as initially expected. While the overall political climate does not have a direct effect at the societal level, it does affect the way in which a specific party’s political messages influence the attitudes of their individual recipients. Once the political climate is more ethnocentric, conceptions of nationhood tend to be more restrictive across the board, even among respondents aligned with parties that do not emphasize ethnic conceptions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.734
Threshold uncertainty score0.852

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.112
GPT teacher head0.490
Teacher spread0.377 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2018
Admission routes1
Has abstractyes

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